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Research on the path of efficient development of China’s Generative Artificial Intelligence industry——Configuration analysis based on TOE framework
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Lu-yuan TANG1, Yuan XU2
Studies in Science of Science | 2026, 44(3) : 471 - 481
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Studies in Science of Science | 2026, 44(3): 471-481
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Research on the path of efficient development of China’s Generative Artificial Intelligence industry——Configuration analysis based on TOE framework
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Lu-yuan TANG1, Yuan XU2
Affiliations
  • 1 School of Economics, Beijing Institute of Technology, Beijing 102488, China
  • 2 College of Education, Beijing Institute of Technology, Beijing 102488, China
Published: 2026-03-15
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The artificial intelligence industry is a typical representative of future industries and a strategic emerging industry that leads economic innovation and enhances national competitiveness. As a disruptive technology, generative artificial intelligence has become an important direction for the development of the artificial intelligence industry. Taking 23 provinces and cities in China as the research objects, this paper adopts the TOE theoretical framework and introduces the fsQCA method to explore the high-efficiency development path of China’s generative artificial intelligence industry from a configuration perspective. The research found that: (1) The generative artificial intelligence industry has four typical characteristics: innovation leadership, ecological synergy, radiation empowerment and market explosiveness. (2) There are five paths for the high-efficiency development of China’s generative artificial intelligence industry: organization-environment dual-wheel drive, technology-environment dominant, technology-environment synergy, factor aggregation comprehensive drive, and environment support. (3) Through configuration comparison, it is found that the high-efficiency development of China’s generative artificial intelligence industry requires the coordination of multi-dimensional factors, and the advantage of a single factor is difficult to support its sustainable development. The research conclusions provide policy basis and theoretical guidance for the government to formulate industrial development policies and enterprises to make the next strategic planning.

future industry  /  Generative AI industry  /  high-efficiency development path  /  TOE framework  /  configuration analysis
唐露源, 徐源. 中国生成式人工智能产业高效率发展路径研究——基于TOE框架的组态分析. 科学学研究, 2026 , 44 (3) : 471 -481 .
Lu-yuan TANG, Yuan XU. Research on the path of efficient development of China’s Generative Artificial Intelligence industry——Configuration analysis based on TOE framework[J]. Studies in Science of Science, 2026 , 44 (3) : 471 -481 .
Year 2026 volume 44 Issue 3
89
45
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  • Receive Date:2025-03-03
  • Online Date:2026-10-09
  • Published:2026-03-15
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  • Received:2025-03-03
  • Revised:2025-04-14
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    1 School of Economics, Beijing Institute of Technology, Beijing 102488, China
    2 College of Education, Beijing Institute of Technology, Beijing 102488, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
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占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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